The Bayes information criterion (BIC), on the other hand, is derived
from a Bayesian viewpoint with equal prior probability on each model
and vague priors (the parameters are from a distribution from the
Koopman-Darmois family, a very general parametric family) [1]}
is computed as
\(\text{BIC}=\log (n)k-2\hat{\ell }\) 
